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AI in Energy Digital Twining: A Reinforcement Learning-based Adaptive Digital Twin Model for Green Cities
This is caused by the lack of right-time data capturing in traditional approaches, resulting in inaccurate modelling and high resource and energy consumption challenges.
Digital Twin-Native AI-Driven Service Architecture for Industrial Networks
Within the proposed DT-native architecture, we implement a TCP-based data flow pipeline and a Reinforcement Learning (RL)-based learner model.
Contactless Human Activity Recognition using Deep Learning with Flexible and Scalable Software Define Radio
Specifically, this study investigates the use of Wi-Fi channel state information (CSI) as a novel method of ambient sensing that can be employed as a contactless means of recognizing human activity in indoor environments.
The side effect profile of Clozapine in real world data of three large mental hospitals
Further, the data was combined from three trusts, and chi-square tests were applied to estimate the average effect of ADRs in each monthly interval.
